**differential algebraic equations**'.

POSITION Prof. Dr. Natal van Riel is Professor in Computational Modelling at the Academic Medical Center - University of Amsterdam (AMC - UvA) and Associate Professor in Systems Biology and Metabolic Diseases at the Department of Biomedical Engineering of the Eindhoven University of Technology (TU/e).

RESEARCH My research applies mathematical modelling and computation to study metabolic diseases, in particular Metabolic Syndrome and co-morbidities. Systems biology approaches are developed for ...

**Projects:** COSMIC, BaCell-SysMO, SYSTERACT, HUMET Startup, INCOME, BESTER, iRhythmics, COVID-19 Disease Map, SASKit: Senescence-Associated Systems diagnostics Kit for cancer and stroke

**Institutions:** University of Rostock

**Expertise:** dynamics of biological networks, Data analysis
Mathematical modelling
Bioinformatics
Systems biology, Dynamics and Control of Biological Networks

**Tools:** Computational and theoretical biology, ODE, Matlab, Mathematica, stimulus response experiments, differential algebraic equations, quantitative western blot analyses, quantitative western blot analysis, Stochastic models

**Projects:** COSMIC, BaCell-SysMO

**Institutions:** University of Rostock

**Expertise:** Mathematical modelling, dynamics of biological networks, Physics, bistability, Systems Biology, Data analysis, Statistical Physics, Dynamics and Control of Biological Networks

**Tools:** Computational and theoretical biology, ODE, Matlab, Mathematica, differential algebraic equations, Stochastic models, C programming, Computational Systems Biology, Dynamic modelling, Data Modelling

Modelling of cellular signalling, Dynamic Motifs and Feedback, Quantitative Measures, Theoretical Aspects of Modelling Biological Systems

**Expertise:** Mathematical modelling of biosystems and bioprocesses, Optimal experimental design, Systems Biology, sensitivity analysis, Dynamic optimization., Dynamics and Control of Biological Networks, Parameter estimation

**Tools:** ODE, Partial differential equations, Matlab, differential algebraic equations, Stochastic models, Computational Systems Biology, Deterministic models, Dynamic modelling, Parameter estimation

I am a postdoctoral researcher in the group of Julio Banga. My research is focused on computational systems biology with particular attention to the mathematical modelling of biosystems and bioprocesses. Some of the topics we address are:

- Parameter estimation
- Model identifiability
- Global sensitivity analysis
- Optimal experimental design
- Dynamic optimization
- Robust control of diffusion-reaction systems

**Expertise:** Molecular Biology, Bioinformatics, Mathematical modelling, Reactor models, dynamics of biological networks, Mathematical and statistical modeling, bioreactor models, Dynamics and Control of Biological Networks, Parameter estimation

**Tools:** Bioinformatics, Computational and theoretical biology, Transcriptomics, Model organisms, Single Cell analysis, SBML, ODE, Linear equations, Matlab, Microarray analysis, linux, Material balance based modeling, stimulus response experiments, DIVA, differential algebraic equations, evaluation of process dynamics, continuous cultivation

I'm an engineer at the MPI Magdeburg and I'm working in the field of mathematical modeling, model verification, parameter identification, model analysis and experimental design. I'm involved in two projects, KOsmoBac and PSYSMO.

**Projects:** KOSMOBAC

**Institutions:** University of Aberdeen

My background is physics engineering & biomedical engineering. I did my PhD in Surrey on the modelling of response of mammalian cells to radiation of different qualities. I have been working at the University of Aberdeen since November 2007 as a theoreticien research fellow of the KOSMOBAC project. We are investigating the homeostasis of ions in bacteria E. coli. I have been working at a model of the buffering capacity of the cytopplasm, arising from the presence of weak acids and bases. We ...

**Projects:** KOSMOBAC

**Institutions:** Max Planck Institute for Dynamics of Complex Technical Systems